Painful diabetic peripheral neuropathy: practical guidance and challenges for clinical management
FG Preston, DR Riley, S Azmi… - … , Metabolic Syndrome and …, 2023 - Taylor & Francis
Painful diabetic peripheral neuropathy (PDPN) is present in nearly a quarter of people with
diabetes. It is estimated to affect over 100 million people worldwide. PDPN is associated …
diabetes. It is estimated to affect over 100 million people worldwide. PDPN is associated …
Knowledge, awareness, and attitude of healthcare stakeholders on Alzheimer's disease and dementia in Qatar
Dementia is characterized by progressive cognitive decline, memory impairment, and
disability. Alzheimer's disease (AD) accounts for 60–70% of cases, followed by vascular and …
disability. Alzheimer's disease (AD) accounts for 60–70% of cases, followed by vascular and …
[PDF][PDF] Artificial intelligence-assisted repair of peripheral nerve injury: a new research hotspot and associated challenges
Y Guo, L Sun, W Zhong, N Zhang… - Neural Regeneration …, 2023 - journals.lww.com
Artificial intelligence can be indirectly applied to the repair of peripheral nerve injury.
Specifically, it can be used to analyze and process data regarding peripheral nerve injury …
Specifically, it can be used to analyze and process data regarding peripheral nerve injury …
Digital Twins for Health: Opportunities, Barriers and a Path Forward
The concept of precision medicine involves tailoring medical interventions to each patient's
specific needs, considering factors such as their genetic makeup, lifestyle, environment and …
specific needs, considering factors such as their genetic makeup, lifestyle, environment and …
[HTML][HTML] Computational approaches in rheumatic diseases–Deciphering complex spatio-temporal cell interactions
Inflammatory arthritis, including rheumatoid (RA, and psoriatic (PsA) arthritis, are clinically
and immunologically heterogeneous diseases with no identified cure. Chronic inflammation …
and immunologically heterogeneous diseases with no identified cure. Chronic inflammation …
Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review
K Kryszan, A Wylęgała, M Kijonka, P Potrawa… - Diagnostics, 2024 - mdpi.com
Artificial intelligence (AI) has seen significant progress in medical diagnostics, particularly in
image and video analysis. This review focuses on the application of AI in analyzing in vivo …
image and video analysis. This review focuses on the application of AI in analyzing in vivo …
Discontinuity third harmonic generation microscopy for label-free imaging and quantification of intraepidermal nerve fibers
Label-free imaging methodologies for nerve fibers rely on spatial signal continuity to identify
fibers and fail to image free intraepidermal nerve endings (FINEs). Here, we present an …
fibers and fail to image free intraepidermal nerve endings (FINEs). Here, we present an …
Impact of Age on the Characteristics of Corneal Nerves and Corneal Epithelial Cells in Healthy Adults
Purpose: The aim of this study was to investigate age-related changes in corneal nerves and
corneal epithelial cell parameters and to establish age-adjusted reference values. Methods …
corneal epithelial cell parameters and to establish age-adjusted reference values. Methods …
人工智能辅助修复周围神经损伤: 一个新的研究热点及挑战
Y Guo, L Sun, W Zhong, N Zhang, Z Zhao… - 中国神经再生研究(英文 …, 2024 - sjzsyj.com.cn
人工智能和周围神经再生之间从技术上看没有直接联系, 但它们可以在医学领域中相互合作,
人工智能可以用于分析和处理周围神经再生方面的数据, 同时周围神经再生的研究结果也可以 …
人工智能可以用于分析和处理周围神经再生方面的数据, 同时周围神经再生的研究结果也可以 …
Machine learning based endothelial cell image analysis of patients undergoing descemet membrane endothelial keratoplasty surgery
EE Karaca, FD Işık, R Hassanpour… - Biomedical …, 2024 - degruyter.com
Objectives In this study, we developed a machine learning approach for postoperative
corneal endothelial cell images of patients who underwent Descemet's membrane …
corneal endothelial cell images of patients who underwent Descemet's membrane …